Most patients view their test results before their doctor, with some reporting low comprehension
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Oct-2026 19:16 ET (27-Oct-2026 23:16 GMT/UTC)
More than two-thirds of adults (68.6 percent) reported viewing their test results before hearing from a provider. Those who immediately viewed results were more likely to be older and female, and have a higher income, multiple chronic health conditions, higher digital literacy, and greater use of health-related social media.
A study of 653 Ugandan common bean farmers finds that belonging to a digital market-linkage network significantly increases farmers' ability to act collectively, especially in group marketing, but this boost in "collective agency" is not shared equally between men and women.
Across both networked and non-networked farmer groups, men consistently reported greater confidence in taking on leadership roles and higher rates of collective marketing than women; network membership did not close this gap and, on some measures, appeared to widen it.
While network membership improved collective agency overall and was positively associated with women's agency, these gains were insufficient to eliminate underlying gender inequalities in leadership and participation.
The researchers conclude that market-access programs alone cannot deliver gender equality in agriculture, a finding that lands directly in 2026, the UN-designated International Year of the Woman Farmer, which is calling for this kind of deliberate, gender-transformative action.
A research paper by scientists from Imperial College London introduced a bionic multichannel whisker system, as an additional sensing modality for endoluminal interventions.
The new research paper, published on Aug. 05 in the journal Cyborg and Bionic Systems, provided proof‑of‑concept validation for a compact sensor add‑on that can discriminate surface texture, reconstruct local geometry, and estimate radial contact forces–three tactile primitives that are difficult to access through vision alone.
A new AI framework developed at Tel-Hai University can detect pain in horses from video while explaining its decisions in ways veterinarians can verify, marking a breakthrough in explainable AI with implications for animal and human healthcare.